epiculous/fett-uccine-long-noodle-7b-120k-context-gguf overview

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    "library_name": "transformers",
    "tags": [
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      "library_name": "transformers",
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    "summary": "# Fett-uccine-Long-Noodle-7B-120k-Context This is a merge of pre-trained language models created using mergekit.",
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    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: []\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# Fett-uccine-Long-Noodle-7B-120k-Context\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\nA merge with Fett-uccine and Mistral Yarn 120k ctx.\n\nCredit to Nitral for the merge script and idea.\n### Merge Method\n\nThis model was merged using the SLERP merge method.\n\n### Models Merged\n\nThe following models were included in the merge:\n* Z:\\ModelColdStorage\\Yarn-Mistral-7b-128k\n* Z:\\ModelColdStorage\\Fett-uccine-7B\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nslices:\n  - sources:\n      - model: Z:\\ModelColdStorage\\Fett-uccine-7B\n        layer_range: [0, 32]\n      - model: Z:\\ModelColdStorage\\Yarn-Mistral-7b-128k\n        layer_range: [0, 32]\nmerge_method: slerp\nbase_model: Z:\\ModelColdStorage\\Fett-uccine-7B\nparameters:\n  t:\n    - filter: self_attn\n      value: [0, 0.5, 0.3, 0.7, 1]\n    - filter: mlp\n      value: [1, 0.5, 0.7, 0.3, 0]\n    - value: 0.5\ndtype: bfloat16\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mergekit",
    "merge",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2024-02-08T00:28:38.000Z",
  "created_at": "2024-02-07T20:37:41.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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  "createdAt": "2024-02-07T20:37:41.000Z",
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  "author": "Epiculous",
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